{"id":"W4410929812","doi":"10.1016/j.seta.2025.104386","title":"Comparative assessment of various passenger vehicles with alternative fuels including hydrogen","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Technologies and Assessments","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Alternative fuels; Environmental science; Engineering; Biochemical engineering; Automotive engineering; Transport engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007923997,0.000546082,0.0003615506,0.001234676,0.000543398,0.000837538,0.0004384134,0.0005051917,0.002040056],"category_scores_gemma":[0.0005102061,0.0001279051,0.0005546096,0.001200519,0.000240589,0.0007250838,0.0003474446,0.0001995468,0.0003604222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274985,"about_ca_system_score_gemma":0.0005183097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02649032,"about_ca_topic_score_gemma":0.06564377,"domain_scores_codex":[0.9996443,0.00007155174,0.0000146862,0.00003559161,0.0001772622,0.00005658508],"domain_scores_gemma":[0.9995021,0.0001213329,0.0000293002,0.00001510632,0.0003018139,0.00003031823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02060823,0.001340064,0.1823825,0.001899331,0.0009466595,0.001570288,0.001103537,0.2470622,0.2973136,0.004742757,0.003255951,0.2377748],"study_design_scores_gemma":[0.0002343129,0.01766294,0.4826163,0.0001072287,0.001221628,0.0006457579,0.004163119,0.1208754,0.3432748,0.002085872,0.02696533,0.0001472692],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917673,0.0003262322,0.0007968339,0.00002169538,0.000006125231,0.00002517846,0.0005745908,0.00002051511,0.006461518],"genre_scores_gemma":[0.9955072,0.0002627822,0.0004697228,0.000005597904,0.000002561758,0.000009614674,0.000535869,0.00001026929,0.003196257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02649032,"threshold_uncertainty_score":0.05267227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209355814719639,"score_gpt":0.2907799442759437,"score_spread":0.2786863861287474,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}